公开(公告)号：US11663115B2

公开(公告)日：2023-05-30

申请号：US17500299

申请日：2021-10-13

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jin Xiao ,  Anup Kalia ,  Chen Lin ,  Raghav Batta ,  Saurabh Sinha ,  John Rofrano ,  Maja Vukovic

IPC: G06F11/36 ,  G06F11/32

CPC classification number: G06F11/3688 ,  G06F11/323 ,  G06F11/3636 ,  G06F11/3684 ,  G06F11/3692

Abstract: Systems, computer-implemented methods, and computer program products to facilitate generation of microservices from a monolithic application based on runtime traces are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a model component that learns cluster assignments of classes in a monolithic application based on runtime traces of executed test cases. The computer executable components can further comprise a cluster component that employs the model component to generate clusters of the classes based on the cluster assignments to identify one or more microservices of the monolithic application.

公开(公告)号：US11586812B2

公开(公告)日：2023-02-21

申请号：US16671047

申请日：2019-10-31

Applicant: International Business Machines Corporation

Inventor： Anup Kalia ,  Chen Lin ,  Jin Xiao ,  Maja Vukovic

IPC: G06F40/211 ,  G06N20/00 ,  G06K9/62 ,  G06V30/414

Abstract: One embodiment of the invention provides a method for entity extraction, comprising determining a set of part-of-speech (POS) tags based on one or more documents, determining a concept in the one or more documents based on the set of POS tags, and extracting one or more phrases from the one or more documents based on the concept. The method further comprises generating a first set of rules corresponding to the concept based on the one or more phrases, generating a second set of rules specific to a domain based on the first set of rules, and learning, via an adapter grammar, a structure of one or more named entities in the one or more documents based on the second set of rules.

公开(公告)号：US20220068499A1

公开(公告)日：2022-03-03

申请号：US17009043

申请日：2020-09-01

Applicant: International Business Machines Corporation

Inventor： Girmaw Abebe Tadesse ,  Chen Lin ,  Roxana Monge Nunez ,  Maja Vukovic ,  Komminist Weldemariam

IPC: G16H50/80 ,  G16H50/50 ,  G16H50/70 ,  G16H40/20 ,  G06Q30/02 ,  G16H50/30 ,  G16H50/20 ,  G06N20/00 ,  H04W4/12 ,  G09B19/00

Abstract: Predicting infection risk by generating a first temporal graph of a first set of disease progression data, generating a second temporal graph of a second set of disease progression data, combining a first temporal graph node embedding and a second temporal graph node embedding, and generating a predicted infection risk according to the first temporal graph node embedding and the second temporal graph node embedding.

公开(公告)号：US11023530B2

公开(公告)日：2021-06-01

申请号：US16274867

申请日：2019-02-13

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Li Jun Mei ,  Jie Ma ,  Ya Bin Dang ,  Jinho Hwang ,  Chen Lin ,  John Rofrano ,  Anup Kalia ,  Maja Vukovic

IPC: G06F16/9032 ,  G10L15/22 ,  G06F16/9035 ,  G10L25/30 ,  G10L25/54 ,  G06F16/9038

Abstract: Systems and methods for prioritizing interview questions, including predicting answers to questions in a candidate question set using a neural network model, and generating a ranking for each of the questions in the candidate question set by determining answer confidence, completeness, and ambiguity for each of the answers, and incorporating user preferences using a personalized preference matrix. A top ranked question is automatically selected and presented to the user, and the personalized preference matrix is iteratively adjusted for subsequent ranking of questions based on an answer to the top ranked question by the user to reduce computational resources expended.

公开(公告)号：US20210133284A1

公开(公告)日：2021-05-06

申请号：US16671047

申请日：2019-10-31

Applicant: International Business Machines Corporation

Inventor： Anup Kalia ,  Chen Lin ,  Jin Xiao ,  Maja Vukovic

IPC: G06F17/27 ,  G06K9/00 ,  G06K9/62 ,  G06N20/00

Abstract: One embodiment of the invention provides a method for entity extraction, comprising determining a set of part-of-speech (POS) tags based on one or more documents, determining a concept in the one or more documents based on the set of POS tags, and extracting one or more phrases from the one or more documents based on the concept. The method further comprises generating a first set of rules corresponding to the concept based on the one or more phrases, generating a second set of rules specific to a domain based on the first set of rules, and learning, via an adapter grammar, a structure of one or more named entities in the one or more documents based on the second set of rules.

公开(公告)号：US20210089528A1

公开(公告)日：2021-03-25

申请号：US16575916

申请日：2019-09-19

Applicant: International Business Machines Corporation

Inventor： Chen Lin ,  John Rofrano ,  Anup Kalia ,  Maja Vukovic ,  Jinho Hwang ,  Jie Ma ,  Lijun Mei ,  Ya Bin Dang

IPC: G06F16/2452 ,  G06N3/08 ,  G06F16/242 ,  G06F17/27

Abstract: A system, program product, and method for use with an artificial intelligence (AI) platform to dynamically amend a knowledge base responsive to query evaluating and processing. A received or detected query is subject to natural language processing to identify, annotate, and map one or more query tokens against a knowledge base. The query tokens are evaluated against the knowledge base to identify one or more query tokens absent from the knowledge base and leverage a neural network to predict a probability relationship between the query tokens absent from the knowledge base and one or more tokens populated in the knowledge base. The natural language (NL) query is translated to a structured query language (SQL) and the SQL query is executed and evaluated, and the knowledge base is selectively and dynamically amended subject to the SQL evaluation.

公开(公告)号：US10831772B2

公开(公告)日：2020-11-10

申请号：US15848563

申请日：2017-12-20

Applicant: International Business Machines Corporation

Inventor： Nikolaos Anerousis ,  Anup Kalia ,  Chen Lin ,  Maja Vukovic ,  Jin Xiao

IPC: G06F16/25 ,  G06F9/50 ,  G06F16/245 ,  G06F16/28 ,  G06F16/22 ,  G06F16/35 ,  G06F16/33 ,  G06F40/30 ,  G06N5/00 ,  G06N5/02 ,  G06N7/00 ,  G06K9/62 ,  G06N3/04 ,  G06N3/08

Abstract: Techniques for generating domain and client-specific application program interface recommendations are provided. In one example, a computer-implemented method comprises determining a semantic similarity between a first client application program interface and a second client application program interface based on a modified client application program interface being generated by removing text data associated with a first description of the first client application program interface. The computer-implemented method can further comprise matching the first description to a second description of the second client application program interface based on the semantic similarity, resulting in on or more matched client application program interfaces. Additionally, the computer-implemented method can further comprise associating the first client application program interface with a community based on the one or more matched client application program interfaces.